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  Assessing the spatial variability in peak season CO2 exchange characteristics across the Arctic tundra using a light response curve parameterization

Mbufong, H. N., Lund, M., Aurela, M., Christensen, T. R., Eugster, W., Friborg, T., et al. (2014). Assessing the spatial variability in peak season CO2 exchange characteristics across the Arctic tundra using a light response curve parameterization. Biogeosciences, 11, 4897-4912. doi:10.5194/bg-11-4897-2014.

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 Creators:
Mbufong, H. N., Author
Lund, M., Author
Aurela, M., Author
Christensen, T. R., Author
Eugster, W., Author
Friborg, T., Author
Hansen, B. U., Author
Humphreys, E. R., Author
Jackowicz-Korczynski, M., Author
Kutzbach, Lars1, Author           
Lafleur, P. M., Author
Oechel, W. C., Author
Parmentier, F. J. W., Author
Rasse, D. P., Author
Rocha, A. V., Author
Sachs, T., Author
van der Molen, M. M., Author
Tamstorf, M. P., Author
Affiliations:
1CRG Regional Hydrology in Terrestrial Systems, Research Area B: Climate Manifestations and Impacts, The CliSAP Cluster of Excellence, External Organizations, ou_2025292              

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 Abstract: This paper aims to assess the functional and spatial variability in the response of CO2 exchange to irradiance across the Arctic tundra during peak season using light response curve (LRC) parameters. This investigation allows us to better understand the future response of Arctic tundra under climatic change. Data was collected using the micrometeorological eddy covariance technique from 12 circumpolar Arctic tundra sites, in the range of 64–74° N. The LRCs were generated for 14 days with peak net ecosystem exchange (NEE) using an NEE -irradiance model. Parameters from LRCs represent site specific traits and characteristics describing: (a) NEE at light saturation (Fcsat), (b) dark respiration (Rd), (c) light use efficiency (α), (d) NEE when light is at 1000 μmol m−2 s−1 (Fc1000), (e) potential photosynthesis at light saturation (Psat) and (f) the light compensation point (LCP). Parameterization of LRCs was successful in predicting CO2 flux dynamics across the Arctic tundra. Yet we did not find any trends in LRC parameters across the whole Arctic tundra but there were indications for temperature and latitudinal differences within sub-regions like Russia and Greenland. Together, LAI and July temperature had a high explanatory power of the variance in assimilation parameters (Fcsat, Fc1000 and Psat), thus illustrating the potential for upscaling CO2 exchange for the whole Arctic tundra. Dark respiration was more variable and less correlated to environmental drivers than was assimilation parameters. Thus, indicating the inherent need to include other parameters such as nutrient availability, substrate quantity and quality in flux monitoring activities.

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Language(s): eng - English
 Dates: 2014
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.5194/bg-11-4897-2014
 Degree: -

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Title: Biogeosciences
  Other : Biogeosciences
Source Genre: Journal
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Publ. Info: Katlenburg-Lindau, Germany : Copernicus GmbH on behalf of the European Geosciences Union
Pages: - Volume / Issue: 11 Sequence Number: - Start / End Page: 4897 - 4912 Identifier: ISSN: 1726-4170
CoNE: https://pure.mpg.de/cone/journals/resource/111087929276006